{"id":"W2137126316","doi":"10.1039/c4nr06545j","title":"Local pH tracking in living cells","year":2015,"lang":"en","type":"article","venue":"Nanoscale","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Endocytosis; Fluorescence; Nanoparticle; Tracking (education); Chemistry; Mesoporous silica; Condensation; Nanotechnology; Endocytic cycle; Particle (ecology); Chemical engineering; Mesoporous material; Materials science; Catalysis; Organic chemistry; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001537794,0.000097884,0.00009381644,0.00003399396,0.00001931295,0.00001200479,0.0001500853,0.0001366183,0.00000681805],"category_scores_gemma":[0.00006661956,0.0001010525,0.00003103636,0.00008175827,0.00007491362,0.000005390502,0.00009519625,0.00009338337,0.00001525704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003641321,"about_ca_system_score_gemma":0.00005011739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002517728,"about_ca_topic_score_gemma":0.00006653633,"domain_scores_codex":[0.9992914,0.00003177836,0.0001322691,0.0002395963,0.00008441993,0.0002205825],"domain_scores_gemma":[0.9996408,0.000007716877,0.00003194676,0.0002060053,0.00004309648,0.00007042537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001424494,0.00004171428,0.003695808,0.000004127925,0.000001550133,0.000004504264,0.00007130381,0.00005904665,0.9892333,0.000009292235,0.001899368,0.004965747],"study_design_scores_gemma":[0.0001437051,0.0001027291,0.0005611114,0.00003469822,0.000001546601,0.000004569426,0.0001092396,0.00006776479,0.9855095,0.00007593146,0.01326286,0.0001263823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7546885,0.0009401559,0.2414776,0.00005514371,0.0002172683,0.000208105,0.000006491755,0.00006305337,0.002343674],"genre_scores_gemma":[0.9847024,0.00004089089,0.01454744,0.0001483448,0.00006594888,0.00001264098,0.000007252963,0.00001959353,0.0004554511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2300139,"threshold_uncertainty_score":0.4120801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344309324880552,"score_gpt":0.2861289893093512,"score_spread":0.2726858960605456,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}